faster QA for early movers in AI sales coaching

Octomind automated QA so SelfActualize.AI could scale the development of their sales coaching app without the risk of buggy experience

octomind and selfactualize.ai collaboration - logos

Tl;dr

SelfActualize.AI, the company behind AI-powered sales coaching app WingRep, moves at a fast pace of  engineering - deploying product updates daily and evolving features quickly to stay ahead in a competitive space. But that velocity created growing pressure on QA.

As the team began to see bugs slip into production and struggled to keep regression tests relevant, they turned to Octomind. With Octomind’s AI-powered testing and tight CI integration, SelfActualize.AI streamlined its QA process, stabilized test coverage, and enabled its lean team to confidently scale product innovation.

Building AI products at AI speed 

As co-founder Will Bennett puts it, “We're innovating faster than teams our size should be, and that means QA has to scale with us.”

SelfActualize.AI’s product, WingRep, offers users on-demand coaching powered by AI. It records meetings, provides personalized post-call analysis, and enables human-like coaching conversations powered by insights from top executive mentors.

The engineering team is small but the ambition is huge. Engineers push updates almost daily, powered by tools like Copilot and OpenAI for code generation. To keep up, QA had to evolve too.

Anom Chavez, QA engineer with over two decades of testing experience, joined to bring structure to testing at a time when bugs were beginning to affect user experience and investor demos.

“With developers shipping so quickly thanks to AI, we knew QA couldn’t be an afterthought. We needed scalable, reliable test coverage from day one.”
Anom Chavez, QA Engineer, SelfActualize.AI

Growing QA backlog

Before Octomind, testing relied on manual checks, shallow scripts, and ad hoc efforts that couldn’t keep pace with daily releases. Bugs were making it to production. Even though each pull request created its own transient test environment, there was no automated system to verify changes against the full user experience.

As the sole QA, I was wearing every hat: tester, QA manager, release gatekeeper,” said Anom. “I needed a solution that could help me cover more ground, with less manual overhead.”

Anom had worked with custom frameworks in previous roles and knew how time-consuming they could be. Building a new one from scratch wasn't an option. They needed a low-friction tool that integrated with the workflow, scaled with velocity, and delivered immediate feedback on every change.

Anom Chavez and Will Bennett of SelfActualize.AI
Anom Chavez and Will Bennett of SelfActualize.AI

Octomind tests introduced  

When SelfActualize.AI was introduced to Octomind through a trusted advisor, the fit was clear. Octomind offered exactly what they were missing: robust end-to-end testing that was easy to set up, prompt-based, and integrated directly into CI.

“Once I saw how Octomind’s prompts worked with our site, I could quickly extend existing tests or create new ones from scratch,” said Anom. “The ability to add steps and validate them with clear screenshots made it incredibly efficient.”

Anom also pointed out how much Octomind reduced maintenance overhead: “Compared to scripting everything manually, this gave me back hours. I could focus on what mattered - the quality of tests, not just the quantity.”

The visual clarity of test results also helped reduce friction. The ability to view every test step with screenshots made it fast to spot issues and confirm what went wrong.

“The visual test history is incredibly helpful,  I can quickly confirm test health and debug failures fast.”
Anom Chavez, QA Engineer, SelfActualize.AI

CI integration to test new builds 

SelfActualize.AI began integrating Octomind across all staging and production workflows. Tests were tied to GitHub pull requests, running automatically against each preview environment. This gave developers fast feedback and reduced the chances of regressions slipping into production.

Even without a daily release, Octomind tests run every night on both staging and production to detect issues proactively. This became especially valuable as SelfActualize.AI started giving more product demos to prospective clients and investors.

“Having confidence that the core flows were covered, even overnight,  was huge. We could focus on the product, not firefighting bugs.”
Will Bennett, Co-Founder, SelfActualize.AI

Stable product with minimal overhead

Today, Octomind enables SelfActualize.AI to test faster, deploy more confidently, and maintain high product stability with minimal overhead. The once-manual QA process is now automated, visual, and integrated.

  • Regression coverage has expanded significantly with little manual effort
  • Octomind’s visual test results simplify triage and speed up debugging
  • The team can now deliver demos knowing production is stable
  • QA scales with engineering without slowing down the release pipeline


“Octomind frees me up to design better tests instead of scripting everything by hand.”
Anom Chavez, QA Engineer, SelfActualize.AI
“We're innovating faster than ever, and Octomind helps ensure our site stays stable as we scale.”
Will Bennett, Co-Founder, SelfActualize.AI

What comes next

As the team prepares to launch a mobile version of their sales coaching app WingRep, mobile testing is top of mind. “We’re going with React Native, and we're interested to see how Octomind can support us as we expand,” said Will.

In the meantime, the team continues to refine its web testing and expand coverage with QA now seamlessly embedded in every part of their agile process.

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